Big Data Analytics

JuiceFS provides standard, flexible and fully managed storage service for the Hadoop ecosystem that enable big data platforms to maximize performance on the cloud.

• Storage computing separation architecture
• Fully compatible with HDFS interface
• Strong data consistency guarantee
• Flexible, stable, high performance
• Low TCO

How to make HBase faster, more stable, and cheaper

Machine Learning

JuiceFS can manage tens of billions of files, fully POSIX compatible that supports machine learning, deep learning, and parallel computing requirements, and hassle-free use in TensorFlow, PyTorch, MXNet, and other frameworks.

• Capabilities to manage ten billions of files
• POSIX compatible, seamlessly interfaced with machine learning frameworks
• High performance, high availability, flexible expansion
• Cluster sharing to enhance team collaboration
• Support multi-region, multi-cloud, and hybrid cloud

Data Backup

Data backup is crucial for business, but it is not easy to back up a growing cluster. JuiceFS provides fully managed services, elastic scaling with unlimited capacity, and the same experience and compatibility as local disks make backups reliable and straightforward.

• High performance, high availability, flexible expansion
• Fully compatible with POSIX, works out of the box
• Fully managed service without operation and maintenance needs
• Transparent data compression, encryption, replication support
• Cross-region, cross-cloud support

Best Practice: MySQL backup, verification and recovery solution based on JuiceFS

User Case: Xiachufang MySQL backup practice on JuiceFS

Shared Storage

JuiceFS is a cloud-native shared file system that replaces traditional NAS and provides data sharing access across thousands of physical machines, virtual machines, and containers.

• High performance, high availability, flexible expansion
• Cloud native design, fully managed service
• Transport encryption, support sharing cross public network
• Support Kubernetes CSI standard
• Cross-region, cross-cloud support

Archive Storage

Real-time data archiving is the basis for mining the value of data. JuiceFS provides data sharing and access to thousands of nodes, easy to deploy, and simple to use.

• Low cost, ready to use, works out of the box with the big data engine
• Cloud native design, fully managed service
• Powerful sharing capabilities
• Fully compatible with POSIX
• Cross-region, cross-cloud support, automatic offsite backup

Best Practice: JuiceFS for archive NGINX logs

Disaster Recovery

Support multi-region, multi-service provider, the automatic replication automatically backup your important data offsite. When the current region is unavailable, you can quickly switch to the backup service area or service provider to ensure business continuity.

• High performance, high availability
• Fully managed service without operation and maintenance needs
• Transport encryption, storage encryption, data security first
• Cross-region, cross-cloud support
• Backup in the same city or offsite locations

Container Platform

Cloud-native design, support the Cloud Storage Interface standard, seamlessly integrate with your container cluster.

• High performance, high availability
• Cloud native design, fully managed service
• Persistent Volume for multi-machine reading and writing
• Support multiple mount and claim methods
• Cross-region, cross-cloud support

Best Practice: Use JuiceFS in Kubernetes

Best Practice: Use JuiceFS in Docker

CI

In the process of continuous integration and continuous delivery, JuiceFS provides shared storage for code preparation, construction, product library, and other stages to meet the needs of large-scale build and release.

• High performance, high availability, flexible expansion
• Cloud native design, fully managed service
• Fully compatible with POSIX, works out of the box
• Transport encryption, support sharing cross public network
• Cross-region, cross-cloud support